Skinnerdb: Regret-bounded query evaluation via reinforcement learning

I Trummer, J Wang, Z Wei, D Maram… - ACM Transactions on …, 2021 - dl.acm.org
SkinnerDB uses reinforcement learning for reliable join ordering, exploiting an adaptive
processing engine with specialized join algorithms and data structures. It maintains no data …

Skinnerdb: regret-bounded query evaluation via reinforcement learning

I Trummer, S Moseley, D Maram, S Jo… - Proceedings of the …, 2018 - dl.acm.org
Robust query optimization becomes illusory in the presence of correlated predicates or user-
defined functions. Occasionally, the query optimizer will choose join orders whose execution …

Optimism and Pessimism in Database Query Optimisation

S Helmer, PT Wood, M Stuefer - 2024 IEEE 18th International …, 2024 - ieeexplore.ieee.org
Optimising queries in real-world situations under imperfect conditions is still a problem that
has not been fully solved. We consider finding the optimal order in which to execute a given …

Database query optimisation based on measures of regret

KH Alyoubi - 2016 - eprints.bbk.ac.uk
The query optimiser in a database management system (DBMS) is responsible for nding a
good order in which to execute the operators in a given query. However, in practice the …

[PDF][PDF] DOCTORATT DEE L'UNIVERSITÉÉ DEE TOULOUSE

S Domaine - 2017 - core.ac.uk
The quality of an execution plan generated by a query optimizer is highly dependent on the
quality of the estimates produced by the cost model. Unfortunately, these estimates are often …

Une méthode d'optimisation hybride pour une évaluation robuste de requêtes

C Moumen - 2017 - theses.hal.science
La qualité d'un plan d'exécution engendré par un optimiseur de requêtes est fortement
dépendante de la qualité des estimations produites par le modèle de coûts …